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toxicity-scorer-smollm2-135m-freeze – AI Model by tcapelle | AlphaNeural AI
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tcapelle
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toxicity-scorer-smollm2-135m-freeze
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transformers
safetensors
llama
text-classification
generated_from_trainer
HuggingFaceTB/SmolLM2-135M
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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toxicity-scorer-smollm2-135m-freeze
This model is a fine-tuned version of
HuggingFaceTB/SmolLM2-135M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3011
F1: 0.8565
Accuracy: 0.8807
Precision: 0.8558
Recall: 0.8807
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 3e-05
train_batch_size: 36
eval_batch_size: 36
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 288
total_eval_batch_size: 288
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Accuracy
Precision
Recall
No log
0
0
1.2430
0.5996
0.5195
0.7569
0.5195
0.3157
1.2762
5000
0.3011
0.8562
0.8806
0.8556
0.8806
0.309
2.5523
10000
0.3011
0.8565
0.8807
0.8558
0.8807
Framework versions
Transformers 4.46.3
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.3
